Search Results for author:
Found 2 papers, 0 papers with code
SpecXAI -- Spectral interpretability of Deep Learning Models
Deep learning is becoming increasingly adopted in business and industry due to its ability to transform large quantities of data into high-performing models.
Concept Activation Vectors for Generating User-Defined 3D Shapes
We explore the interpretability of 3D geometric deep learning models in the context of Computer-Aided Design (CAD).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
